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Leveraging Alternative Data for Mixed Martial Arts Betting Markets

Author: Eugene Han

Advisors: Brian Macdonald and Robert Wooster

This repository contains the code and data used for my senior thesis at Yale University which is to be submitted to the faculty of the Department of Statistics and Data Science in partial fulfillment of the requirements for the degree of Bachelor of Science.

Abstract

TODO: Draft abstract

TODO: Add more sections to README as needed

Disclaimer

This repository is provided for research and educational purposes only. While the code and data are openly available, they are to be used at your own discretion and risk. I do not personally endorse gambling/sports betting in any form—I have no financial stake in this project, and I do not intend to use it in any commercial or gambling-related activities. Users should be aware that scraping data from certain websites may breach their Terms of Service, and I take no responsibility for any consequences resulting from misuse of this repository.

Lastly, I will not be maintaining this repository after the completion of my thesis other than updates to documentation as I see fit. All data and model training will be constrained to the data collected up to the end of the 2024 calendar year and I will not be setting up any workflows to automatically make updates. Please feel free to use this work as a reference or starting point for your own research. There are many ways it can be improved—overall code quality, productionalization, new methods, other data sources, deeper data analysis and feature engineering, etc.

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[WIP] if rory gilmore had a draftkings account

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